Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
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A Study on H.I.M.(Human Information Modeling) for the Analysis of Barrier Free Architectural Space

무장애 건축공간 분석을 위한 사용자정보모델링(H.I.M.)에 대한 연구

  • Received : 2012.02.29
  • Published : 2012.07.25
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Abstract

This is a basic study to establish the concept of Human Information Models(H.I.M.) which will work for the analysis of urban environment comprised of various architectural spaces. Generally, it is Geometric Information System(GIS) that has been used for the macroscopic analysis of urban environment. GIS is based on the vector data of floor plan and linear movement route, and the raster data of satellite pictures. They are suitable 'data' for the investigation of wide regions, but not for the analysis of interior spaces of buildings that takes up a considerable portion of urban environment nowaday. Meanwhile, Building Information Modelling(B.I.M.), which has concerned building materials and performance, is developing the study on 'spaces' related with the utilization of buildings. This study created a B.I.M. model of an existing building concerning connections of spaces and movement lengths, and simulated the 'activities' and 'movements' of people who use the spaces. The term, 'H.I.M.', which would be associated with the idea of B.I.M., was defined as the information system on the personal attributes and spatial usages of each individual. The H.I.M. were used for the 4-D analysis of the activities/movements of space users in temporal dimension. The study also conducted Post Occupancy Evaluation(POE) test, and compared its result with the outcome of simulation to check the validity of the B.I.M/H.I.M. analysis. The H.I.M. shall be an essential method for the analysis and prediction of various urban issues in the future with the further studies on personal energy use, thermal comfort, and route selection issues supported by developing artificial intelligence technology.

Keywords

Acknowledgement

Supported by : 한국연구재단

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